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Fuzzy Pattern Rule Induction for Information Extraction

机译:信息抽取的模糊模式规则归纳

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摘要

The World Wide Web's vast growth contains a great variety and quantity of on-line information. People need to have the computing systems with the ability to process those documents to simplify the text information. One type of appropriate processing is called Information Extraction (IE) technology. Information extraction can be regarded as one kind of classification problems and one of the main methods to deal with the problem is pattern rule induction. Due to the uncertainty during the induction of pattern rules from natural language texts, in this paper we introduce a Fuzzy pattern Rule Induction System (FRIS) to obtain fuzzy pattern rules for information extraction from semi-structured webpages and free texts.
机译:万维网的迅猛发展包含了种类繁多的在线信息。人们需要具有能够处理那些文档以简化文本信息的计算系统。一种适当的处理称为信息提取(IE)技术。信息提取可以看作是一种分类问题,模式规则归纳是解决该问题的主要方法之一。由于自然语言文本在归纳模式规则过程中存在不确定性,因此,我们引入模糊模式规则归纳系统(FRIS),以获取用于从半结构化网页和自由文本中提取信息的模糊模式规则。

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